Residential College | false |
Status | 已發表Published |
A Stable and Fair Coalition Formation Scheme in Mobile Crowd Sensing | |
Yingying Pei1; Fen Hou1; Lin X. Cai2 | |
2019-05 | |
Conference Name | 2019 IEEE International Conference on Communications, ICC 2019 |
Source Publication | IEEE International Conference on Communications |
Volume | 2019-May |
Conference Date | 20-24 May 2019 |
Conference Place | Shanghai, China |
Country | China |
Publisher | IEEE |
Abstract | In most of the existing works about mobile crowd sensing, the service provider collects data from each mobile user separately. However, comparing with the collection of data from individual users, batch trading is more attractive for both service provider and mobile users. On one hand, the service provider prefers to buy a batch of data each time even if it may offer a higher unit price since batch trading can save time and efforts in data collection. On the other hand, batch trading is profitable for mobile users since they can take advantage of volume premium. In this paper, we study how mobile users form a coalition to sell their sensing data together. Based on the concept of majorization, we propose a novel scheme to form a fair and stable coalition. Simulation results show the super performance of the proposed method compared with alternative solutions. In specific, the proposed scheme can improve the achieved utility and fairness by 623.68% and 5.51%, respectively, compared to the scheme with independent sell when the number of users is 90. |
Keyword | Coalition Formation Surplus Sharing Mobile Crowd Sensing |
DOI | 10.1109/ICC.2019.8761948 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Engineering ; Telecommunications |
WOS Subject | Engineering, Electrical & Electronic ; Telecommunications |
WOS ID | WOS:000492038805072 |
The Source to Article | https://ieeexplore.ieee.org/document/8761948 |
Scopus ID | 2-s2.0-85070228047 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
Affiliation | 1.Department of Electrical and Computer Engineering, University of Macau, Macau, China 2.Department of Electrical and Computer Engineering, Illinois Institute of Technology, USA |
First Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yingying Pei,Fen Hou,Lin X. Cai. A Stable and Fair Coalition Formation Scheme in Mobile Crowd Sensing[C]:IEEE, 2019. |
APA | Yingying Pei., Fen Hou., & Lin X. Cai (2019). A Stable and Fair Coalition Formation Scheme in Mobile Crowd Sensing. IEEE International Conference on Communications, 2019-May. |
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